PulseTrendingJournal ClubResearchersJournalsExplore
Instagram
HomeTrendingJournal ClubExplore
Synapse
⌘+K
Synapse
May 24, 2026Open Access

Computer-aided detection of tuberculosis from chest radiographs in a tuberculosis prevalence survey in South Africa: external validation and modelled impacts of commercially available artificial intelligence software

View Full Paper
Ask AI
Bookmark
Share

Authors

HCHuman Sciences Research Council

Discussion

Loading...

Member takes

Overview

Randomized trial compares CAD products’ accuracy for tuberculosis screening, suggesting improved detection methods.

Key Points

  • The aim is to compare the performance of commercially available CAD products for detecting tuberculosis in a high-prevalence setting.
  • Evaluated 12 CAD products using a case-control sample from a South African tuberculosis prevalence survey.
  • Included participants with microbiological test results to establish accuracy.
  • Conducted subgroup analyses based on age, gender, HIV status, previous tuberculosis history, symptoms presence, and smoking status.
  • Comparison of CAD accuracy yielded varying AUC values, indicating differences in detection capability among products.
  • Threshold analyses revealed significant distinctions in product performance across different thresholds.
  • Subgroup analyses demonstrated variations in CAD product performance related to demographic factors.

Cite This Study

Human Sciences Research Council (2026) studied this question.

synapsesocial.com/papers/6a1296c748a0ea1665673d6ehttps://doi.org/10.14749/32361612
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Computer-aided detection of TB from chest radiographs in a TB prevalence survey: external validation and modelled impacts of commercially available artificial intelligence software2025
  2. 2Performance of CAD4TB artificial intelligence technology in TB screening programmes2026
  3. 3Computer-aided detection thresholds for digital chest x-ray interpretation in tuberculosis diagnostic algorithms2026
  4. 4An independent, multi-country head-to-head accuracy comparison of automated chest x-ray algorithms for the triage of pulmonary tuberculosis2024 · 12 citations
  5. 5Incidental radiological findings during clinical tuberculosis screening in Lesotho and South Africa: a case series2026